The invention relates to the automated performance of resonance tests on multicomponent components, such as blade assemblies, in which patterns are recognized.
In steam turbines and also in compressors as well as in gas turbines, individual rows of blades are connected by means of blade base and cover band. A fixed assembly thus results, which is insensitive to vibration excitation from the flow medium. The assembly can loosen in the course of operation, whereby blade damage, damage to adjoining components and power losses can result. Presently, the individual components are disassembled to inspect the blade assembly. The evaluation is carried out by means of hammer strike on the assembly and subjective evaluation by means of sound. The sound results from the acoustic processing by the human auditory system.
The subjective evaluation, which is possibly subject to error, on the one hand, and the time-consuming disassembly of the components, on the other hand, are problematic.
The object is achieved by a method as claimed and a device as claimed.
The dependent claims list further advantageous measures, which can be combined with one another as desired to achieve further advantages.
The description and the figures only represent exemplary embodiments of the invention.
Essentially, this relates to supplying the sound of a new component or a technically authorized component, in particular a blade row, to a pattern recognition. For this purpose, the sound firstly has to be associated with a blade row. Upon direct excitation of the blade row, for example by means of hammer strike, the exact airborne sound and the relevant frequency pictures determined thereby can be associated directly with the blade row. Upon excitation of a bladed shaft or bladed housing at any arbitrary point, in particular by means of hammer strike, and measurement of the structure-borne noise at another arbitrary point, the assignment of the measured signals to a blade row is problematic. However, this problem can be solved by individual measurement during the new manufacturing. The frequency pictures of the new state are stored in a database and are considered to be so-called blueprints. These blueprints are supplied to a pattern recognition and assigned as a “healthy” blade row. Alternatively, the frequency pictures of new components can also be numerically computed by means of finite element methods.
Noteworthy characteristics of the sound such as the chronological change of the frequencies, the frequency profile and the decay behavior, can also be determined. Other characteristics of the acoustic analysis methods can also be used.
In the case of the measurement of the structure-borne noise on a used component, the signals are correspondingly analyzed and supplied to the pattern recognition.
Various frequencies, which are not necessarily discrete, having various intensities are recognizable, which are typical for a new component. This is only one example of an acoustic parameter.
A frequency picture 2 of a component 100 after use according to
Both the intensity I and also the location of the frequencies f have at least partially changed and/or shifted.
The decay behavior of the intensity I over the time t has a similar appearance, wherein a decay behavior 4 for new components is shown in
This makes it clear that differences are provided which can be analyzed.
The pattern recognition recognizes in this case the deviation from the target state and assigns the blade rows as a component to a further classification such as “acceptable” or “to be replaced”. These classifications are established beforehand on the basis of preliminary studies and existing measurements.
To carry out the pattern recognition, inter alia, methods of artificial intelligence are applied.
The cover plates 14′, 14″, 14′″, . . . are in the form of Z-plates in this instance. The blade base not depicted in more detail is in the form of a hammer base. The cover plates 14′, 14″, 14′″, . . . are arranged on the rotor 300 such that one cover plate 14′, 14″, 14′″, . . . exerts a force on an adjacent cover plate 14′, 14′, 14′″, . . . . The cover plates 14′, 14′, 14′″, . . . are therefore pretensioned against one another.
During operation the rotor 300 rotates about the axis of rotation 700 at a frequency of between 25 Hz and 60 Hz. Higher frequencies are also possible. At these frequencies a centrifugal force occurs that causes the rotor blades 11′, 11″, 11′″, . . . to move in the radial direction 800, this being prevented by the blade base, which is held in a groove in the rotor 300. The radial direction 800 in this instance points from the axis of rotation 700 essentially along the longitudinal formation of a rotor blade 11′, 11″, 11′″, . . . . During operation, i.e. while a centrifugal force arises as a result of the rotation frequency, the rotor blades 11′, 11″, 11′″, . . . , pull away, leading to the pre-tension being amplified. This pulling-away takes place in a suitable direction that is embodied as an axis of rotation relative to the radial direction 800.
The component 100 is a blade assembly, wherein a cover band 14′, 14″, 14′″, . . . of a turbine blade 11′, 11″, 11′″, . . . is excited here, that is to say advantageously only one component of the multicomponent component (100).
This produces structure-borne vibrations within the installed component, as a result of which airborne sound vibrations are indirectly also produced in the air outside the component, these being captured and recorded by means of a microphone 20 that is not in contact with the component 14.
The microphone 20 is commercially available and converts the measured sound vibrations directly into electronic data.
The electronic data are transmitted by means of a cable 23 or other type of transmission to a cellphone or mobile electronic device 26 that has a program or an app by means of which the electronic data can be captured and analyzed and a recommendation and report can be output directly to a service engineer.
The advantages are: a) unambiguous assignment of defective components, including multicomponent components, by means of an objective method. b) avoidance of the disassembly of the component, which means a saving in costs and time and results in availability improvement.
Number | Date | Country | Kind |
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10 2018 213 475.8 | Aug 2018 | DE | national |
This application is the US National Stage of International Application No. PCT/EP2019/068369 filed 9 Jul. 2019, and claims the benefit thereof. The International Application claims the benefit of German Application No. DE 10 2018 213 475.8 filed 10 Aug. 2018. All of the applications are incorporated by reference herein in their entirety.
Filing Document | Filing Date | Country | Kind |
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PCT/EP2019/068369 | 7/9/2019 | WO | 00 |